A Multilinear Singular Value Decomposition 论文
2000SIAM Journal on Matrix Analysis and Applications引用 4166
Tensor decomposition and applicationsBlind Source Separation TechniquesAlgorithms and Data Compression
详细信息
- 发表期刊/会议
- SIAM Journal on Matrix Analysis and Applications
- 发表日期
- 2000-01-01
- 发表年份
- 2000
关键词
Tensor decomposition and applicationsBlind Source Separation TechniquesAlgorithms and Data Compression
摘要
Abstract. We discuss a multilinear generalization of the singular value decomposition. There is a strong analogy between several properties of the matrix and the higher-order tensor decomposition; uniqueness, link with the matrix eigenvalue decomposition, first-order perturbation effects, etc., are analyzed. We investigate how tensor symmetries affect the decomposition and propose a multilinear generalization of the symmetric eigenvalue decomposition for pair-wise symmetric tensors.